Product Owner

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

✅ Product Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Series A on 2019-12

Consulting • Healthcare • Logistics

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Define, articulate, and execute the product vision and roadmap for next-generation AI/ML initiatives • Prioritize agentic architectures and autonomous workflows • Manage and prioritize the innovation and research backlog • Evaluate generative AI ecosystem breakthroughs for integration into the core product suite • Translate AI/ML concepts into user stories, acceptance criteria, and technical specifications • Collaborate with system architects and software engineers on scalable, resilient, and secure architectures • Support deployment and iterative testing using CI/CD practices with GitHub Actions • Lead innovation initiatives from hypothesis formation and exploratory research through POC validation, production rollout, and adoption • Establish evaluation frameworks, benchmarks, and KPIs for model reliability, agent task completion, cost efficiency, and end-user impact • Gather quantitative and qualitative feedback to improve prototypes and graduate successful experiments into product offerings • Connect AI research, engineering, operations, and commercial leadership within SAFe • Map application landscapes, user workflows, data dependencies, and ownership structures to remove delivery roadblocks

🎯 Requirements

• 10–12 years of overall professional experience • Substantial tenure as a Product Owner, Technical Product Manager, or Product Lead guiding advanced technical or data-centric products • Conceptual and practical mastery of Generative AI, LLMs, AI Agentic workflows, Agent Development Kits (ADKs), Claude Skills, RAG pipelines, vector search, and Knowledge Graph integration • Hands-on experience in Scaled Agile (SAFe) environments, including backlog grooming, sprint planning, PI planning, and dependency management • Solid understanding of Google Cloud Platform (GCP) and Kubernetes • Familiarity with GitHub Actions for CI/CD automation • Ability to engage in architectural discussions regarding data pipelines, API contracts, latency budgets, agent orchestrators, and model inference scaling • Proven ability to translate executive strategy and data science research into actionable epics, features, and stories • Experience collaborating with cross-functional technical and executive stakeholders

🏖️ Benefits

• Exposure to working with fortune 500 companies and innovative market disruptors • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud • Be part of an energetic team of highly dynamic and talented individuals • Opportunity to work at an AI-first digital transformation and engineering company • Exposure to cutting-edge AI/ML and cloud technologies

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